kahramankostas/IoTDevIDv2
A Behavior-Based Device Identification Method for the IoT
This project helps network security professionals accurately identify IoT devices on their network by analyzing network packet characteristics. It takes raw network traffic data (PCAP files) as input and outputs a classification of the devices, indicating whether they are suspicious or benign. Network administrators, security analysts, and IT managers responsible for IoT network security would find this tool valuable.
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Use this if you need a robust, machine learning-based method to identify and secure IoT devices on your network, even those using non-IP and low-energy protocols.
Not ideal if you are looking for an out-of-the-box, plug-and-play network security appliance without requiring a Python development environment and data science expertise.
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Jupyter Notebook
License
MIT
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Last pushed
Feb 25, 2025
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